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Raster Vertical Differencing [ Video Tutorial ]

2019 Ridgecrest, CA Pre-Earthquake Digital Surface Model

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Overview

This digital surface model (DSM) data set is a mosaic of 2 m resolutions stereogrammetric DSMs acquired prior to the July 2019 Ridgecrest, California earthquake sequence. The DSMs were constructed using the open-source software package SETSM (https://mjremotesensing.wordpress.com/setsm/ (Noh and Howat, 2015)) produced using DigitalGlobe Inc. base imagery (�DigitalGlobe 2018).

73 DSM strips were vertically registered to ICESat-1 observations during the mosaicking process (see metadata file for RMS fits to ICESat-1). The base images are ~0.5 m resolution in-track stereo panchromatic imagery from the Worldview-01 and -02 and GeoEye-01 satellites that remain the property of DigitalGlobe Inc.

Processing Groups:

Michael J. Willis, CIRES, University of Colorado, Boulder.
Ryan Cassotto, CIRES, University of Colorado, Boulder.
James Klassen, SharedGeo. This work is supported by award numbers: F18AC00807F and F18AC00038
Jennifer Corcoran, Minnesota Department of Natural Resources. This work is supported by USFS LSR grant number: 17-DG-11420004-273.
Trevor Host, University of Minnesota.
Brian Huberty, US Department of Fish and Wildlife. This work is supported by a FWS GLRI award.
Keith Pelletier, University of Minnesota.
Joseph F. Knight, University of Minnesota.

Reference Dataset

Raster Resolution:

Survey Area: km²

Compare Dataset

Raster Resolution:

Survey Area: km²

Select area of data to process

1. Vertical Differencing Datasets and Coordinate System

Select a dataset for vertical differencing:

Reference dataset:

Compare dataset:

Dataset:

Survey Date:

Horizontal Coordinates:

Vertical Coordinates:

Units:

Data Selection Coordinates (Select an area on map)

X_min =	Y_min =	X_max =	Y_max =
X_min =	Y_min =	X_max =	Y_max =

Manually enter selection coordinates (in the horizontal coordinate system listed above)

Grid Resolution (Default = 1 meter)

2. Layer Types

Reference dataset:

Digital Surface Model (DSM)

Compare dataset:

3. Error handling (optional)

User-defined Minimum Level of Detection

4. Visualization

Generate additional hillshade images from DEMs for reference and compare datasets.

Altitude of the light: (in range: [0-90] degrees)

Azimuth of the light: (in range: [0-360] degrees)

Job Description & Notification

These options allow users to describe and keep track of their jobs. Information entered below is saved along with other job parameters in your personal myOpenTopo dashboard (available only to registered OpenTopography users).

Email address

for notification upon completion of processing

More options

By accessing data via OpenTopography you agree to acknowledge OpenTopography and the dataset source in publications, presentations, and other materials produced using these data:
Data Citation | Use License: Not Provided